US 11,747,419 B2
Systems and methods for spiral-in-out low field MRI scans
Zhixing Wang, Charlottesville, VA (US); Xue Feng, Zion Crossroads, VA (US); John P. Mugler, III, Charlottesville, VA (US); Michael Salerno, Charlottesville, VA (US); Adrienne E. Campbell-Washburn, Charlottesville, VA (US); and Craig H. Meyer, Charlottesville, VA (US)
Assigned to University of Virginia Patent Foundation, Charlottesville, VA (US)
Filed by University of Virginia Patent Foundation, Charlottesville, VA (US)
Filed on Apr. 29, 2022, as Appl. No. 17/733,970.
Claims priority of provisional application 63/181,537, filed on Apr. 29, 2021.
Prior Publication US 2022/0349970 A1, Nov. 3, 2022
Int. Cl. G01R 33/48 (2006.01); G01R 33/561 (2006.01); G01R 33/44 (2006.01); G01R 33/565 (2006.01); G01R 33/54 (2006.01)
CPC G01R 33/4818 (2013.01) [G01R 33/448 (2013.01); G01R 33/543 (2013.01); G01R 33/5613 (2013.01); G01R 33/56518 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer implemented method for ungated magnetic resonance imaging, comprising:
producing magnetic resonance imaging (MRI) data corresponding to a target by scanning the target in a low magnetic field with a pulse sequence having a spiral trajectory;
sampling k-space data from respective scans in the low magnetic field and receiving at least one field map data acquisition and a series of MRI data acquisitions from the respective scans;
forming a field map and at least one sensitivity map in image space from the field map data acquisition;
forming target k-space data with the series of MRI data acquisitions with a Non-Uniform Fast Fourier Transform;
forming initial magnetic resonance images in the image domain by applying a gridding operation to the target k-space data; and
forming reconstructed images with a low rank plus sparse (L+S) reconstruction algorithm applied to the initial magnetic resonance images.